LDR-LLE: LLE with Low-Dimensional Neighborhood Representation.
Yair GoldbergYaacov RitovPublished in: ISVC (2) (2008)
Keyphrases
- low dimensional
- locally linear embedding
- nonlinear dimensionality reduction
- high dimensional
- feature representation
- neighborhood structure
- manifold learning algorithm
- manifold learning
- dimensionality reduction
- high dimensional data
- latent space
- principal component analysis
- data points
- feature space
- dimension reduction
- low dimensionality
- subspace learning
- multidimensional scaling
- random projections
- graph embedding
- manifold structure
- euclidean space
- input space
- underlying manifold
- laplacian eigenmaps
- linear dimensionality reduction
- machine learning
- locally linear
- multi dimensional
- training set
- dimensionality reduction methods
- vector space
- sparse representation
- similarity search